





'''simple docstring'''






import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase									=   get_tests_dir("""fixtures/test_sentencepiece.model""")
@require_sentencepiece
@require_tokenizers
class 		lowerCamelCase	(   _A   , unittest.TestCase							):
	snake_case_   = XGLMTokenizer
	snake_case_   = XGLMTokenizerFast
	snake_case_   = True
	snake_case_   = True



	def 	_lowerCamelCase     ( self						):
			super().setUp()

			# We have a SentencePiece fixture for testing
			lowerCAmelCase  :     Optional[int]       						= XGLMTokenizer(a_		,   keep_accents=a_						)
			tokenizer.save_pretrained(self.tmpdirname						)



	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     str       						= "<pad>"
			lowerCAmelCase  :     Tuple       						= 1

			self.assertEqual(self.get_tokenizer()._convert_token_to_id(a_						)		,   a_						)
			self.assertEqual(self.get_tokenizer()._convert_id_to_token(a_						)		,   a_						)



	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     int       						= list(self.get_tokenizer().get_vocab().keys()						)

			self.assertEqual(vocab_keys[0]		,   "<s>"						)
			self.assertEqual(vocab_keys[1]		,   "<pad>"						)
			self.assertEqual(len(a_						)		,   1_008						)



	def 	_lowerCamelCase     ( self						):
			self.assertEqual(self.get_tokenizer().vocab_size		,   1_008						)



	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     str       						= XGLMTokenizer(a_		,   keep_accents=a_						)

			lowerCAmelCase  :     str       						= tokenizer.tokenize("This is a test"						)
			self.assertListEqual(a_		,   ["▁This", "▁is", "▁a", "▁t", "est"]						)

			self.assertListEqual(
			    tokenizer.convert_tokens_to_ids(a_						)		,   [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]		,   )

			lowerCAmelCase  :     Union[str, Any]       						= tokenizer.tokenize("I was born in 92000, and this is falsé."						)
			self.assertListEqual(
			    a_		,   [
			        SPIECE_UNDERLINE + "I",
			        SPIECE_UNDERLINE + "was",
			        SPIECE_UNDERLINE + "b",
			        "or",
			        "n",
			        SPIECE_UNDERLINE + "in",
			        SPIECE_UNDERLINE + "",
			        "9",
			        "2",
			        "0",
			        "0",
			        "0",
			        ",",
			        SPIECE_UNDERLINE + "and",
			        SPIECE_UNDERLINE + "this",
			        SPIECE_UNDERLINE + "is",
			        SPIECE_UNDERLINE + "f",
			        "al",
			        "s",
			        "é",
			        ".",
			    ]		,   )
			lowerCAmelCase  :     Union[str, Any]       						= tokenizer.convert_tokens_to_ids(a_						)
			self.assertListEqual(
			    a_		,   [
			        value + tokenizer.fairseq_offset
			        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
			    ]		,   )

			lowerCAmelCase  :     Any       						= tokenizer.convert_ids_to_tokens(a_						)
			self.assertListEqual(
			    a_		,   [
			        SPIECE_UNDERLINE + "I",
			        SPIECE_UNDERLINE + "was",
			        SPIECE_UNDERLINE + "b",
			        "or",
			        "n",
			        SPIECE_UNDERLINE + "in",
			        SPIECE_UNDERLINE + "",
			        "<unk>",
			        "2",
			        "0",
			        "0",
			        "0",
			        ",",
			        SPIECE_UNDERLINE + "and",
			        SPIECE_UNDERLINE + "this",
			        SPIECE_UNDERLINE + "is",
			        SPIECE_UNDERLINE + "f",
			        "al",
			        "s",
			        "<unk>",
			        ".",
			    ]		,   )



	@cached_property
	def 	_lowerCamelCase     ( self						):
			return XGLMTokenizer.from_pretrained("facebook/xglm-564M"						)



	def 	_lowerCamelCase     ( self						):
			with tempfile.NamedTemporaryFile() as f:
					shutil.copyfile(a_		,   f.name						)
					lowerCAmelCase  :     Optional[int]       						= XGLMTokenizer(f.name		,   keep_accents=a_						)
					lowerCAmelCase  :     Any       						= pickle.dumps(a_						)
			pickle.loads(a_						)



	def 	_lowerCamelCase     ( self						):
			if not self.test_rust_tokenizer:
					return

			lowerCAmelCase  :     Optional[Any]       						= self.get_tokenizer()
			lowerCAmelCase  :     Tuple       						= self.get_rust_tokenizer()

			lowerCAmelCase  :     Union[str, Any]       						= "I was born in 92000, and this is falsé."

			lowerCAmelCase  :     Optional[int]       						= tokenizer.tokenize(a_						)
			lowerCAmelCase  :     Optional[Any]       						= rust_tokenizer.tokenize(a_						)
			self.assertListEqual(a_		,   a_						)

			lowerCAmelCase  :     int       						= tokenizer.encode(a_		,   add_special_tokens=a_						)
			lowerCAmelCase  :     str       						= rust_tokenizer.encode(a_		,   add_special_tokens=a_						)
			self.assertListEqual(a_		,   a_						)

			lowerCAmelCase  :     Union[str, Any]       						= self.get_rust_tokenizer()
			lowerCAmelCase  :     List[str]       						= tokenizer.encode(a_						)
			lowerCAmelCase  :     int       						= rust_tokenizer.encode(a_						)
			self.assertListEqual(a_		,   a_						)



	@slow
	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     List[str]       						= "Hello World!"
			lowerCAmelCase  :     int       						= [2, 31_227, 4_447, 35]

			self.assertListEqual(a_		,   self.big_tokenizer.encode(a_						)						)



	@slow
	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     Union[str, Any]       						= (
			    "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
			    " add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth"
			)
			# fmt: off
			lowerCAmelCase  :     Dict       						= [2, 1_018, 67, 11, 1_988, 2_617, 5_631, 278, 11, 3_407, 48, 71_630, 28_085, 4, 3_234, 157, 13, 6, 5, 6, 4, 3_526, 768, 15, 659, 57, 298, 3_983, 864, 129, 21, 6, 5, 13_675, 377, 652, 7_580, 10_341, 155, 2_817, 422, 1_666, 7, 1_674, 53, 113, 202_277, 17_892, 33, 60, 87, 4, 3_234, 157, 61, 2_667, 52_376, 19, 88, 23, 735]
			# fmt: on

			self.assertListEqual(a_		,   self.big_tokenizer.encode(a_						)						)





	@slow
	def 	_lowerCamelCase     ( self						):
			# fmt: off
			lowerCAmelCase  :     Optional[Any]       						= {
			    "input_ids": [[2, 108_825, 1_163, 15, 88_010, 473, 15_898, 157, 13_672, 1_857, 312, 8, 238_021, 1_163, 53, 13_672, 1_857, 312, 8, 53_283, 182_396, 8, 18_566, 16, 36_733, 4_101, 8, 230, 244_017, 122_553, 7, 15, 132_597, 4, 293, 12_511, 7_610, 4, 3_414, 132_597, 9, 4, 32_361, 362, 4, 734, 28_512, 32_569, 18, 4, 32_361, 26_096, 14_982, 73, 18_715, 21_433, 235_261, 15, 492, 12_427, 16, 53, 18_715, 21_433, 65_454, 15, 23_659, 563, 16, 278, 597, 2_843, 595, 7_931, 182_396, 64_186, 22, 886, 595, 132_981, 53, 25_540, 3_449, 43_982, 39_901, 5_951, 878, 330, 4, 27_694, 80_269, 312, 53, 6_517, 11_780, 611, 20_408, 5], [2, 6, 132_597, 67, 42_897, 33, 592, 8, 163_729, 25_540, 361, 136_997, 109_514, 173_230, 7, 501, 60, 102_913, 196, 5_631, 235, 63_243, 473, 6, 231_757, 74, 5_277, 7_905, 53, 3_095, 37_317, 22, 454, 183_874, 5], [2, 268, 31_298, 46_530, 6, 132_935, 43_831, 7, 597, 32, 24, 3_688, 9_865, 5]],
			    "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
			}  # noqa: E501
			# fmt: on

			self.tokenizer_integration_test_util(
			    expected_encoding=a_		,   model_name="facebook/xglm-564M"		,   padding=a_		,   )










'''simple docstring'''






from __future__ import annotations






def   __A    (				a_    :	float   ,a_    :	float   ,a_    :	float   ,):
		if (electron_conc, hole_conc, intrinsic_conc).count(0						) != 1:
				raise ValueError("You cannot supply more or less than 2 values"						)
		elif electron_conc < 0:
				raise ValueError("Electron concentration cannot be negative in a semiconductor"						)
		elif hole_conc < 0:
				raise ValueError("Hole concentration cannot be negative in a semiconductor"						)
		elif intrinsic_conc < 0:
				raise ValueError(
				    "Intrinsic concentration cannot be negative in a semiconductor"						)
		elif electron_conc == 0:
				return (
				    "electron_conc",
				    intrinsic_conc**2 / hole_conc,
				)
		elif hole_conc == 0:
				return (
				    "hole_conc",
				    intrinsic_conc**2 / electron_conc,
				)
		elif intrinsic_conc == 0:
				return (
				    "intrinsic_conc",
				    (electron_conc * hole_conc) ** 0.5,
				)
		else:
				return (-1, -1)


if __name__ == "__main__":
					import doctest

					doctest.testmod()



